https://github.com/LiyingCheng95/EntityDescriptionGeneration
공식 코드ENT-DESC: Entity Description Generation by Exploring Knowledge Graph
Papers with Code 아카이브
KG-to-Text Generation
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
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- 평가표
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- 보존된 평가 기록
- 57
Knowledge-graph-to-text (KG-to-text) generation aims to generate high-quality texts which are consistent with input graphs.
Description from: JointGT: Graph-Text Joint Representation Learning for Text Generation from Knowledge Graphs
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/RUCAIBox/Few-Shot-KG2Text
공식 코드Few-shot Knowledge Graph-to-Text Generation with Pretrained Language Models
https://github.com/UKPLab/kg2text
공식 코드Modeling Global and Local Node Contexts for Text Generation from Knowledge Graphs
https://github.com/UKPLab/plms-graph2text
공식 코드Investigating Pretrained Language Models for Graph-to-Text Generation
https://github.com/acolas1/EventNarrative
공식 코드EventNarrative: A large-scale Event-centric Dataset for Knowledge Graph-to-Text Generation
https://github.com/acolas1/GAP_COLING2022
공식 코드GAP: A Graph-aware Language Model Framework for Knowledge Graph-to-Text Generation
https://github.com/acolas1/kgsimple
공식 코드https://github.com/agnesion/zero-shot-nlg-from-kgs-data
공식 코드Using Large Language Models for Zero-Shot Natural Language Generation from Knowledge Graphs
https://github.com/deepmind/deepmind-research/tree/master/wikigraphs
공식 코드WikiGraphs: A Wikipedia Text - Knowledge Graph Paired Dataset
https://github.com/diegma/graph-2-text
공식 코드Deep Graph Convolutional Encoders for Structured Data to Text Generation
https://github.com/lemonqc/kg2text
공식 코드Syntax Controlled Knowledge Graph-to-Text Generation with Order and Semantic Consistency
https://github.com/menggehe/DRAW
공식 코드https://github.com/rikdz/GraphWriter
공식 코드Text Generation from Knowledge Graphs with Graph Transformers
https://github.com/thu-coai/JointGT
공식 코드JointGT: Graph-Text Joint Representation Learning for Text Generation from Knowledge Graphs
https://github.com/wenhuchen/KGPT
공식 코드KGPT: Knowledge-Grounded Pre-Training for Data-to-Text Generation
https://github.com/bjascob/amrlib
Investigating Pretrained Language Models for Graph-to-Text Generation
https://github.com/dice-group/NABU
Deep Graph Convolutional Encoders for Structured Data to Text Generation
https://github.com/dmlc/dgl/tree/master/examples/pytorch/graphwriter
Text Generation from Knowledge Graphs with Graph Transformers
https://github.com/guihuzhang/FactSpotter
https://github.com/hugochan/Graph2Seq-for-KGQG
Toward Subgraph-Guided Knowledge Graph Question Generation with Graph Neural Networks
https://github.com/ukplab/m-amr2text
Investigating Pretrained Language Models for Graph-to-Text Generation
https://github.com/wyu97/permgen
Text Generation from Knowledge Graphs with Graph Transformers
https://gitlab.com/shimorina/inlg-2018
https://gitlab.com/shimorina/webnlg-dataset
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.